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Patterns of Behavior in Endangered Species Preservation
Abstract
This paper analyzes statistically the main determinants of government decisions about the preservation of endangered species. As explanatory variables, we use proxies that include 'scientific' species characteristics, such as "degree of endangerment" and "taxonomic uniqueness" as well as 'visceral' characteristics, such as "physical size" and the degree to which a species is considered a "higher form of life." These proxies are used to study the government's protection and spending decisions on individual species. Overall, we find that the role of visceral characteristics is much greater than the role of scientific characteristics.
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Cited by
Limits to the use of threatened species lists
Possingham, H. P., Andelman, S. J., Burgman, M. A., Medellı́n, R. A., Master, L. L., & Keith, D. A. (2002) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(02)02614-9 · Cited by 532
Plant blindness and the implications for plant conservation
Balding, M., & Williams, K. J. H. (2016) · Conservation Biology · doi:10.1111/cobi.12738 · Cited by 382
Economics of the endangered species act
Brown, G. M., & Shogren, J. F. (1998) · Journal of Economic Perspectives · doi:10.1257/jep.12.3.3 · Cited by 224
Metadata
- Authors
- Metrick, A., & Weitzman, M. L.
- Venue
- Land Economics
- Publisher
- University of Wisconsin Press
- Published
- 1996-02
- Volume
- 72
- Issue
- 1
- Pages
- 1
- ISSN
- 0023-7639 (ISSN-L)
- OpenAlex
- W4245265419
- Cited by
- 208
- References
- 0
- FWCI
- 29.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Patterns of Behavior in Endangered Species Preservation. https://app.cochat.ai/papers/10.2307/3147153
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- Metrick, A., & Weitzman, M. L. (1996). Patterns of Behavior in Endangered Species Preservation. Land Economics. https://doi.org/10.2307/3147153
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.